Expert systems are designed to solve non-regular complex problems using extracted cognitive data and inspiring from the human expertise and its best practices. They are based on the machine performance and its ability to carry out a very large number of complex iterations. The Aircraft Landing Scheduling (ALS) problem has been complex and challenging problem in air traffic control for a long time, In practice, it can formulated as a constrained optimization problem that needs to be solved in real-time. The choice of a task scheduling algorithm in a variable and unpredictable real-time system requires the use of an intelligent expert system, having an evolving knowledge base and a creative inference engine. In this paper we present a general architecture and conceptual concepts of our expert system. This expert system allows the choice of the most optimal scheduling algorithm for aircraft landing scheduling.


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    Title :

    New model for aircraft landing scheduling using real time algorithms scheduling


    Contributors:


    Publication date :

    2015-03-01


    Size :

    424619 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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